


"""simple docstring"""


def 	snake_case		(  UpperCamelCase__							:    int     ) ->   list:

      # bit count represents no. of bits in the gray code
      if bit_count < 0:
            raise ValueError("""The given input must be positive"""     )

      # get the generated string sequence
      lowerCamelCase       :       Any   =						gray_code_sequence_string(_lowerCamelCase     )
      #
      # convert them to integers
      for i in range(len(_lowerCamelCase     )     ):
            lowerCamelCase       :       Union[str, Any]   =						int(sequence[i]      ,					2     )

      return sequence




def 	snake_case		(  UpperCamelCase__							:    int     ) ->   list:

      # The approach is a recursive one
      # Base case achieved when either n = 0 or n=1
      if bit_count == 0:
            return ["0"]

      if bit_count == 1:
            return ["0", "1"]

      lowerCamelCase       :       List[Any]   =						1 << bit_count  # defines the length of the sequence
      # 1<< n is equivalent to 2^n

      # recursive answer will generate answer for n-1 bits
      lowerCamelCase       :       Dict   =						gray_code_sequence_string(bit_count - 1     )

      lowerCamelCase       :       List[str]   =						[]

      # append 0 to first half of the smaller sequence generated
      for i in range(seq_len // 2     ):
            lowerCamelCase       :       Optional[Any]   =						"""0""" + smaller_sequence[i]
            sequence.append(_lowerCamelCase     )

      # append 1 to second half ... start from the end of the list
      for i in reversed(range(seq_len // 2     )     ):
            lowerCamelCase       :       str   =						"""1""" + smaller_sequence[i]
            sequence.append(_lowerCamelCase     )

      return sequence


if __name__ == "__main__":
    import doctest

    doctest.testmod()












"""simple docstring"""





from transformers import DistilBertTokenizer, DistilBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest






@require_tokenizers
class 	a		(   __snake_case						):
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizer
    SCREAMING_SNAKE_CASE		:	Optional[Any]		=					DistilBertTokenizerFast
    SCREAMING_SNAKE_CASE		:	int		=					True






    @slow
    def   UpperCamelCase			(			self	:				Optional[int]   )	->						int:
      lowerCamelCase_       	=		DistilBertTokenizer.from_pretrained('distilbert-base-uncased'   )

      lowerCamelCase_       	=		tokenizer.encode('sequence builders'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.encode('multi-sequence build'			,		add_special_tokens=__SCREAMING_SNAKE_CASE   )

      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE   )
      lowerCamelCase_       	=		tokenizer.build_inputs_with_special_tokens(__SCREAMING_SNAKE_CASE			,		__SCREAMING_SNAKE_CASE   )

      assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
      assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
          tokenizer.sep_token_id
      ]




